CN103237380A - Method and system of intelligent light-environment controlling based on multi-factor coupling - Google Patents
Method and system of intelligent light-environment controlling based on multi-factor coupling Download PDFInfo
- Publication number
- CN103237380A CN103237380A CN2013100848285A CN201310084828A CN103237380A CN 103237380 A CN103237380 A CN 103237380A CN 2013100848285 A CN2013100848285 A CN 2013100848285A CN 201310084828 A CN201310084828 A CN 201310084828A CN 103237380 A CN103237380 A CN 103237380A
- Authority
- CN
- China
- Prior art keywords
- light
- temperature
- environment
- red
- blue
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000008878 coupling Effects 0.000 title claims abstract description 24
- 238000010168 coupling process Methods 0.000 title claims abstract description 24
- 238000005859 coupling reaction Methods 0.000 title claims abstract description 24
- 238000012544 monitoring process Methods 0.000 claims abstract description 38
- 238000005286 illumination Methods 0.000 claims abstract description 36
- 230000004907 flux Effects 0.000 claims abstract description 16
- 230000029553 photosynthesis Effects 0.000 claims abstract description 13
- 238000010672 photosynthesis Methods 0.000 claims abstract description 13
- 230000001186 cumulative effect Effects 0.000 claims abstract description 4
- 239000013589 supplement Substances 0.000 claims description 45
- 230000001502 supplementing effect Effects 0.000 claims description 33
- 241000196324 Embryophyta Species 0.000 claims description 21
- 238000005259 measurement Methods 0.000 claims description 19
- 230000005855 radiation Effects 0.000 claims description 17
- 230000012010 growth Effects 0.000 claims description 12
- 238000009825 accumulation Methods 0.000 claims description 11
- 230000008635 plant growth Effects 0.000 claims description 11
- 235000007688 Lycopersicon esculentum Nutrition 0.000 claims description 10
- 240000003768 Solanum lycopersicum Species 0.000 claims description 10
- 238000012937 correction Methods 0.000 claims description 9
- 238000001514 detection method Methods 0.000 claims description 9
- 230000000243 photosynthetic effect Effects 0.000 claims description 9
- 229940102872 bluemax Drugs 0.000 claims description 8
- 230000003993 interaction Effects 0.000 claims description 5
- 238000005265 energy consumption Methods 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 5
- 238000002474 experimental method Methods 0.000 description 5
- 238000010438 heat treatment Methods 0.000 description 5
- 230000001276 controlling effect Effects 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000001105 regulatory effect Effects 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000012271 agricultural production Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 238000010413 gardening Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 235000013311 vegetables Nutrition 0.000 description 1
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P60/00—Technologies relating to agriculture, livestock or agroalimentary industries
- Y02P60/14—Measures for saving energy, e.g. in green houses
Landscapes
- Circuit Arrangement For Electric Light Sources In General (AREA)
Abstract
The invention relates to a method of intelligent light-environment controlling based on multi-factor coupling. The method includes setting illumination cumulative time according to illumination demand characteristics of plants in the current environment, monitoring real-time red-blue light PFD (photon flux density) value and real-time temperature value in the environment during the illumination cumulative time, matching optimum environment light intensity with the temperature, calculating differences between monitoring values of the red-blue light and target values according to red-blue light saturation point of current plants on different temperature conditions, performing supplementary lighting as demanded, adjusting temperature to be in a threshold range of photosynthesis effective temperature when the monitoring value excesses. The invention further provides a system for implementing the method of intelligent light environment controlling. A multi-factor coupling based intelligent light-environment controlling algorithm is called, so that precise controlling on temperature and sub-band light intensity of the environment is completed; light adjustment can be effectively controlled through a PWM (pulse-width modulation) controlling signal based on minimum energy consumption; and the optimized controlling on the temperature and the sub-band light intensity of the plant growing environment is realized.
Description
Technical Field
The invention belongs to the technical field of fine agriculture, and particularly relates to a light environment intelligent regulation and control method and system based on multi-factor coupling.
Background
At present, the facility gardening area of China exceeds 250 million hectares and is the first place in the world, but because agricultural facilities such as greenhouses and the like are influenced by factors such as covering materials, dust, structural shading and the like, the phenomenon of light shortage of facility crops commonly exists, and the insufficient illumination becomes an important factor for limiting the development of the facility crops. Taking the central area as an example, the natural illumination is performed in winter 1701-3780 and above lux illumination time is only 6-7 hours, and most vegetables require 12-14 hours to reach the optimal yield state, so the overall yield and quality are not high. Therefore, research and control of light environment have become a hot spot of research.
In recent years, with the large-area popularization of greenhouses in agricultural production, a plurality of special agricultural light supplement systems appear on the market, and corresponding control methods are also endless. However, most control methods of the light supplement system lack precision, mostly depend on a single light intensity monitoring value to realize the control of the light supplement amount, and do not consider the influence of light on the growth of greenhouse crops. Even if a small part of light supplement systems consider the influence of light quality on the growth of crops and adopt methods of specific waveband detection and sub-waveband light supplement, the mutual relation among multiple factors such as temperature, illumination time and the like in the growth environment of the crops is not considered, so that insufficient or excessive light supplement is caused, and the growth of the crops and the utilization efficiency of light energy are influenced. Therefore, the existing light supplementing system has more problems in the aspect of light environment regulation, does not consider the correlation between light and temperature in the environment and the influence on the crop light environment, and greatly influences the real-time performance and the accuracy of facility light environment regulation.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide an intelligent light environment regulation and control system based on multi-factor coupling, which fully considers the mutual relationship among factors such as temperature, light intensity, light quality and illumination accumulation time and the influence on the crop light environment, establishes an illumination time priority regulation and control mode and ensures the effective illumination accumulation time of crops. Secondly, designing an optimal dynamic control model of the light saturation point according to the dynamic relation between the temperature and the light saturation point among different light qualities, thereby completing the dynamic adjustment of the light saturation point at different temperatures, and finally designing a multi-factor coupling feedback control model supporting the adjustment of dynamic parameters according to the real-time light saturation point, thereby realizing the accurate regulation and control of the crop growth light environment based on the multi-factor monitoring result.
In order to achieve the purpose, the invention adopts the technical scheme that:
a light environment intelligent regulation and control method based on multi-factor coupling sets illumination accumulation time according to plant illumination demand characteristics in a current environment, monitors real-time red and blue light photosynthetic effective radiation Photon Flux Density (PFD) values and real-time temperature values in the environment in the time of accumulation illumination, utilizes temperature and optimal environment light intensity fitting, calculates a difference value between a red and blue light monitoring value and a target value according to red and blue light saturation points of the current plant under different temperature conditions, and carries out on-demand light supplement, and when the temperature monitoring value exceeds a photosynthesis effective temperature threshold range, adjusts the temperature to enable the temperature to be in the range.
When tomato is taken as an example:
according to the following fitting formula of the temperature and the optimal environment light intensity:
obtaining a red light saturation point redLSP = I × M at the current temperature, wherein M is a red light correction coefficient and is determined according to the growth period of the specific plant; and the number of the first and second groups,
blue light saturation point blue LSP = I × N at the current temperature, wherein N is a blue light correction coefficient and is determined according to the growth period of a specific plant;
t is the current ambient temperature, and I is the total light intensity in the environment.
And the red photosynthetically active radiation Photon Flux Density (PFD) value and the blue photosynthetically active radiation Photon Flux Density (PFD) value are detected by a PAR sensor.
Alternatively, the red photosynthetically active radiation Photon Flux Density (PFD) value is obtained by the following notations:
the blue photosynthetically active radiation Photon Flux Density (PFD) value is obtained by the following disclosure:
in the above formula, H is the solar altitude,
When light is needed to be supplemented, the array light supplementing lamp set is used for supplementing light,
the red light supplement amount is:
the amount of blue light supplement is:
redMax is the maximum red light supplement amount of the array type light supplement lamp set, and BlueMax is the maximum blue light supplement amount of the array type light supplement lamp set.
The invention also provides a system for realizing the intelligent regulation and control method of the light environment based on the multi-factor coupling, which comprises the following steps:
the temperature monitoring module is used for monitoring the real-time temperature in the environment and transmitting the monitoring value to the single chip microcomputer;
the illumination monitoring module is used for monitoring the real-time total light intensity in the environment and transmitting the monitored value to the single chip microcomputer;
a human-computer interaction module connected with the singlechip for setting the cumulative time and the starting time of the illumination of the plants in the current environment
The single chip microcomputer is used for calculating the light supplementing quantity of the red and blue light according to the current real-time total light intensity and the real-time temperature, outputting a light supplementing control signal to the light supplementing module according to the light supplementing quantity of the red and blue light, and outputting a temperature adjusting control signal to the temperature adjusting module when the real-time temperature is out of the set photosynthesis effective temperature threshold range;
the temperature adjusting module is connected with a temperature adjusting control signal output control port of the singlechip and realizes that the current temperature is adjusted within the range of the set effective temperature threshold value of photosynthesis according to the temperature adjusting control signal sent by the singlechip;
the light supplementing module adopts an array type light supplementing lamp group, is connected with a singlechip light supplementing control signal output control port, and turns on corresponding number of light supplementing lamps in the red and blue light supplementing lamp group array to supplement light according to the light supplementing control signal sent by the singlechip;
the clock module is connected with the singlechip and used for providing system time and timing time for the singlechip;
and the power supply module is used for supplying power to the whole system.
The temperature adjusting module is based on the working principle of a relay, the relay is connected with a heating resistor, and temperature adjustment and control are achieved by controlling the current on the heating resistor.
And the singlechip is reserved with a control port for accessing the sensor module.
The temperature monitoring module employs a DB18B20 temperature sensor.
The illumination monitoring module adopts a photosynthetically active radiation sensor (PAR) for plant growth.
Compared with the prior art, the invention realizes the real-time capture of the plant growth environment information by monitoring the temperature, the light quality and the light intensity in the plant growth environment; meanwhile, based on system parameters set by a user and captured real-time environment information, accurate control of temperature and sub-band light intensity in the environment is completed by calling a multi-factor coupling light environment intelligent regulation algorithm, and intelligent regulation and control of the plant growth light environment are achieved. Through on-site deployment experiments of the system, the system is proved to have strong real-time performance and accuracy, the dimming quantity can be effectively controlled through the PWM control signal on the basis of lowest energy consumption, and meanwhile, the temperature in the greenhouse is regulated and controlled in real time through the heating equipment, so that the optimal regulation and control of the temperature and the sub-band light intensity in the plant growth environment are completed, and the real-time intelligent regulation and control of the plant growth light environment are realized.
Drawings
Fig. 1 is a schematic diagram of the multi-factor coupling feedback control mechanism of the present invention.
FIG. 2 is a graph showing a temperature-net photosynthetic rate fitting curve according to the present invention.
FIG. 3 is a graph of net photosynthetic rate-light intensity fit curves according to the present invention.
FIG. 4 is a schematic diagram of a temperature-intensity fit curve according to the present invention.
Fig. 5 is a block diagram of the hardware architecture of the present invention.
Fig. 6 is a schematic flow chart of the present invention.
FIG. 7 is a diagram illustrating system test results according to an embodiment of the present invention.
Fig. 8 is a system normalized energy-saving histogram of an embodiment of the present invention.
Detailed Description
The embodiments of the present invention will be described in detail below with reference to the drawings and examples.
As shown in fig. 1, the principle of the present invention is that, according to the light supplement start time and the accumulated time value set by the user, on the basis of ensuring the light accumulation time, the red and blue light PFD value in the environment and the red and blue light saturation points of different plants under different temperature conditions are obtained by monitoring, the difference between the red and blue light monitoring value and the target value is calculated, and then the quotient is obtained with the maximum light supplement amount of the light supplement array, so as to obtain the real-time light-required adjustment amount of the red and blue light, thereby completing the dynamic adjustment of the effective light intensity of the environment. Meanwhile, aiming at the low-temperature condition, the system automatically controls the heating, completes the adjustment of the temperature in the environment and realizes the accurate and intelligent regulation and control of the environmental parameters of the plant growth light.
The method comprises the steps of monitoring a real-time red and blue light photosynthetically active radiation Photon Flux Density (PFD) value and a real-time temperature value in an environment within the time of accumulated illumination by setting illumination accumulated time, calculating a difference value between a red and blue light monitoring value and a target value according to red and blue light saturation points of current plants under different temperature conditions, supplementing light as required, and adjusting the temperature to be within the range when the temperature monitoring value exceeds the range of a photosynthetically active temperature threshold;
for the relevant information of temperature and environmental light intensity, through on-site deployment experiments, the relation data of the long-term temperature and the optimal illumination intensity of the greenhouse tomatoes are monitored as shown in a table 1:
TABLE 1
Data relating long-term temperature of greenhouse tomatoes to net photosynthetic rate are shown in table 2:
TABLE 2
The data of the relation between the net photosynthetic rate of the tomato and the optimal environmental light intensity are shown in Table 3:
TABLE 3
FIG. 2 shows a graph of a temperature-net photosynthetic rate fitting curve obtained according to Table 2, where the relationship is: pn=-12.2262+1.94505×T-0.33282×T2(ii) a Then, a schematic diagram of a net photosynthetic rate-optimum light intensity fitting curve obtained according to the table 3 is shown in fig. 3, and the relation is as follows:
finally, the data in the table 1-3 and the two formulas are combined to obtain a fitting formula of the temperature and the ambient light intensity in the tomato greenhouse as follows:
wherein T is the current ambient temperature, and I is the total light intensity in the environment.
When the temperature in the environment changes, the light intensity correspondingly changes according to a certain rule, and therefore, a certain corresponding relation exists between the temperature in the environment and the optimal environment light intensity, a fitting curve of the temperature and the optimal environment light intensity is obtained through fitting, as shown in fig. 4, the curve in the drawing is distributed in the range of 15-30 ℃ of the system temperature setting threshold, and each temperature measuring point corresponds to optimal light intensity information.
The hardware structure of the system is shown in fig. 5, a 51-chip microcomputer is used as a core, a modular design idea is adopted in the system, and the system can be divided into a power supply module, an environment monitoring module, a control module, a temperature adjusting module, a light supplementing module, a clock module and a human-computer interaction module.
The power module adopts a standard 5V direct current power supply to supply power to corresponding parts such as the clock module and the like; meanwhile, the conversion from 5V to 3.3V working voltage is completed through the AMS1117 standard power supply module, and the real-time power supply of a key, a liquid crystal, an illumination sensor and the like is realized.
The temperature adjusting module is connected with a single chip microcomputer temperature adjusting control signal output control port, and the current temperature is adjusted within a set photosynthesis effective temperature threshold value range according to the temperature adjusting control signal sent by the single chip microcomputer; the temperature adjusting module is based on the working principle of the relay, and the temperature in the environment is adjusted and controlled by controlling the current on the heating resistor, so that the illumination accumulation time of crops in a proper temperature range is guaranteed, the photosynthesis is promoted to be effectively carried out, and great help is provided for the accumulation of organic matters of the crops.
The light supplementing module adopts the array light supplementing lamp set, is connected with the singlechip light supplementing control signal output control port, and opens the light supplementing lamps with corresponding quantity in the red and blue light supplementing lamp set array for light supplementing according to the light supplementing control signal sent by the singlechip.
The environment monitoring module comprises a temperature monitoring module and an illumination monitoring module, detects the temperature and illumination intensity in the environment in real time, and transmits the acquired data to the single chip microcomputer for processing, wherein the illumination detection adopts a plant growth photosynthetic active radiation sensor (PAR), and the working voltage is 3.3V; the temperature detection is realized by using a DB18B20 temperature sensor and an external circuit thereof.
The clock module adopts a DS1302 clock chip for obtaining system time; the man-machine interaction module is responsible for setting relevant parameters of a system by a user, the liquid crystal connection adopts a serial SPI communication mode, and the keys realize a key circuit by utilizing an SN74HC32 or a gate and an LM358 operational amplifier to jointly complete the design and realization of the man-machine interaction module.
The control module mainly uses a 51 single chip microcomputer as a core, and completes functions of current environment information receiving, dimming quantity calculation, control command issuing and the like through an intelligent regulation and control algorithm.
The system adopts the design idea of modularization and standard interfaces, reserves a control port, and realizes multi-factor monitoring by connecting different sensors and external circuits thereof to corresponding sensor modules.
As shown in fig. 6, based on the above principle and system, the regulating method of the present invention comprises the following steps:
the method comprises the following steps that firstly, starting up operation, initializing a system, and setting illumination accumulated time, starting timing time and an effective photosynthesis temperature threshold range of plants in the current environment by a user according to the illumination demand characteristics of the plants in the current environment;
monitoring the temperature and the light intensity of the current environment, calling a multi-factor coupling intelligent regulation and control algorithm to judge and process current system parameters and environment factor information, forming corresponding temperature control commands and illumination control commands, issuing the temperature control commands and the illumination control commands to execution equipment through corresponding control ports, completing the control of the temperature and the illumination, and realizing the real-time, intelligent and accurate regulation and control of the plant growth light environment;
and step three, after one-time regulation and control is finished, delaying for a certain time, and executing the step two again.
The multi-factor coupling intelligent regulation and control algorithm process is as follows:
1. when the light supplement starting time set by the system is reached, timing is started;
2. monitoring the real-time temperature within the illumination accumulated time set by the system, if the real-time temperature is not within the threshold range of the effective temperature of photosynthesis of plants in the current environment set by the system, controlling to turn on the temperature regulation module for temperature regulation, simultaneously turning off timing, pausing the time accumulation until the temperature is regulated to be within the threshold range, and continuing to execute the step 3; if the real-time temperature is within the effective temperature threshold range of photosynthesis of the plants in the current environment set by the system, continuing to execute the step 3;
3. calling the fitting formula of the temperature and the ambient light intensity
Calculating corresponding red and blue light saturation points redLSP and blue LSP under the temperature T, wherein redLSP = I × M, blue LSP = I × N, M is a red light correction coefficient, N is a blue light correction coefficient, both the coefficients are determined according to the growth period of a specific plant, and the two coefficients can be obtained by inquiring the relationship between the plant growth light intensity and the temperature;
4. if the red photosynthetically active radiation Photon Flux Density (PFD) value redPFD is smaller than redLSP, the supplementary light quantity of the red light is added According to the percentage, turning on the corresponding number of light supplement lamps in the red light supplement array lamp group; similarly, if the photosynthetically active radiation luminous quantum flux density (PFD) value blue PFD of the blue light is smaller than blue LSP, the supplementary light quantity of the blue light is added According to the percentage, turning on the corresponding number of light supplement lamps in the blue light supplement array lamp group; the redMax is the maximum red light supplement amount of the array type light supplement lamp set, and the blue Max is the maximum blue light supplement amount of the array type light supplement lamp set;
wherein,
in the formula, H is the solar altitude angle,
The calculation formula of redPFD and blue PFD is that the proportion of the specific wave band in the visible light to the visible light is obtained by continuously measuring the total light intensity and the specific wave band light intensity of the visible light at different dates and different moments in a natural year, the percentage bander of the specific wave band under different solar altitude angles is obtained by fitting the change rule of the detection time, the geographical position and the solar altitude angle through Matlab, and then the formula is used
5. The system keeps the state and performs light supplement adjustment at intervals of t according to the current implementation temperature and light intensity until the set illumination accumulation time is finished;
6. and after the illumination accumulated time is over, turning off all the light supplementing lamps.
To further verify the performance of the system and method, the system started experiments on actual tomato production environment deployment in 7 months of 2012, and the experiments were performed in the base to which the applicant belongs with confidentiality. In the sunny day of 10 months, the greenhouse is opened at 8:30-9:00 for light transmission, and closed at 18:00-18:30 in the afternoon for heat preservation. According to the research results of the light saturation point and the appropriate temperature of the tomatoes, the appropriate temperature range is set to be 15-30 ℃ by the system. The operating process temperature and the required values of red light and blue light, the monitoring values and the supplement values of the system for 10 months and 21 days are shown in figure 7.
From the broken line in the graph, when the ambient temperature changes, the amount of red and blue light required by the plant also changes, and the amount of red and blue light modulation obtained through the intelligent control algorithm also changes.
From 11 months 2012 onwards, the energy consumption and working conditions of the system and conventional LED light supplement equipment are compared and tested, and both adopt narrow-band red-blue LEDs as light sources, and the light intensity output by the light sources is basically consistent with the unit power, so as to test the effectiveness of the proposed intelligent regulation and control method. A tomato planting sunlight greenhouse is used as a dimming place, the ratio of red light to blue light of each LED lamp group is 14:5, and a normalized histogram of monitoring results of 2013, 1 month and 7 days is shown in figure 6. As can be seen from the figure, the energy saving rate of the three time points of 10:00 in the morning, 11:00 in the morning and 16:00 in the afternoon can reach one hundred percent, because the system stops dimming at the moment, and the conventional dimming equipment does not have dynamic dimming capability and still adjusts the greenhouse light environment at the maximum dimming quantity.
Therefore, the experiment proves that the multi-factor coupling light environment intelligent regulation and control algorithm provided by the invention is feasible, the red and blue light intensity and the temperature in the greenhouse are controlled in a relatively proper range within the effective illumination accumulation time, the requirement of tomato photosynthesis is met, and the energy consumption is greatly reduced.
Claims (10)
1. A light environment intelligent regulation and control method based on multi-factor coupling is characterized in that light accumulation time is set according to plant light demand characteristics in the current environment, real-time red and blue light photosynthetic effective radiation Photon Flux Density (PFD) values and real-time temperature values in the environment are monitored in the time of accumulated light, fitting is carried out by utilizing temperature and optimal environment light intensity, a difference value between a red and blue light monitoring value and a target value is calculated according to red and blue light saturation points of the current plant under different temperature conditions, light supplement is carried out as required, and when the temperature monitoring value exceeds a photosynthesis effective temperature threshold range, the temperature is adjusted to be within the range.
2. The intelligent regulation and control method of light environment based on multi-factor coupling according to claim 1, wherein the plant is tomato,
according to the following fitting formula of the temperature and the optimal environment light intensity:
obtaining a red light saturation point redLSP = I × M at the current temperature, wherein M is a red light correction coefficient and is determined according to the growth period of the specific plant;
blue light saturation point blue LSP = I × N at the current temperature, wherein N is a blue light correction coefficient and is determined according to the growth period of a specific plant;
t is the current ambient temperature, and I is the total light intensity in the environment.
3. The light environment intelligent regulation and control method based on multifactor coupling according to claim 1, characterized in that the red photosynthetically active radiation Photon Flux Density (PFD) value and the blue photosynthetically active radiation Photon Flux Density (PFD) value are obtained by PAR sensor detection.
4. The intelligent regulation and control method for light environment based on multifactor coupling according to claim 1, characterized in that the red photosynthetically active radiation Photon Flux Density (PFD) value is obtained by the following formula:
the quantum flux density (PFD) value of the photosynthetically active radiation of the blue light is obtained by the following formula:
in the above formula, H is the solar altitude,
is latitude; delta is declination; omega is the real-time solar angle, delta =23.5 degrees Sin0.986d, d is the number of days between the detection day and the spring minute day of the current year, and omega = (hour-12+ min/60). times.15 degrees; hour value of measurement time is represented by hour, minute value of measurement time is represented by min, measurement time measurement is carried out by adopting Beijing 24-hour system, VL is total light intensity of visible light, h is constant Planck, and c is vacuum wave speed; λ is the average wavelength of the measurement band, and n is the avogalois constant.
5. The intelligent regulation and control method for light environment based on multi-factor coupling according to claim 3 or 4, characterized in that array type light supplement lamp sets are used for light supplement, when light supplement is needed,
the red light supplement amount is:
the amount of blue light supplement is:
redMax is the maximum red light supplement amount of the array type light supplement lamp set, and BlueMax is the maximum blue light supplement amount of the array type light supplement lamp set.
6. The system for realizing the intelligent regulation and control method of the light environment based on the multi-factor coupling of the claim 1 is characterized by comprising the following steps:
the temperature monitoring module is used for monitoring the real-time temperature in the environment and transmitting the monitoring value to the single chip microcomputer;
the illumination monitoring module is used for monitoring the real-time total light intensity in the environment and transmitting the monitored value to the single chip microcomputer;
a human-computer interaction module connected with the singlechip for setting the cumulative time and the starting time of the illumination of the plants in the current environment
The single chip microcomputer is used for calculating the light supplementing quantity of the red and blue light according to the current real-time total light intensity and the real-time temperature, outputting a light supplementing control signal to the light supplementing module according to the light supplementing quantity of the red and blue light, and outputting a temperature adjusting control signal to the temperature adjusting module when the real-time temperature is out of the set photosynthesis effective temperature threshold range;
the temperature adjusting module is connected with a temperature adjusting control signal output control port of the singlechip and realizes that the current temperature is adjusted within the range of the set effective temperature threshold value of photosynthesis according to the temperature adjusting control signal sent by the singlechip;
the light supplementing module adopts an array type light supplementing lamp group, is connected with a singlechip light supplementing control signal output control port, and turns on corresponding number of light supplementing lamps in the red and blue light supplementing lamp group array to supplement light according to the light supplementing control signal sent by the singlechip;
the clock module is connected with the singlechip and used for providing system time and timing time for the singlechip;
and the power supply module is used for supplying power to the whole system.
7. The light environment intelligent regulation and control system based on multi-factor coupling of claim 6, wherein the amount of light required to be supplemented for red light is calculated according to the following formula:
the light supplement quantity of the blue light is calculated according to the following formula:
wherein redLSP is a red light saturation point under the temperature T, redLSP = I × M, M is a red light correction coefficient, and M is determined according to the growth period of the specific plant; the blue LSP is a blue light saturation point under the temperature T, the blue LSP = I multiplied by N, N is a blue light correction coefficient, and the blue light correction coefficient is determined according to the growth period of the specific plant; redMax is the maximum red light supplement quantity of the array type light supplement lamp set, blue Max is the maximum blue light supplement quantity of the array type light supplement lamp set, redPFD is the photosynthetically effective red radiation light quantum flux density (PFD) value, blue PFD is the photosynthetically active radiant Photon Flux Density (PFD) value of blue light,
wherein H is the solar altitude angle,
is latitude; delta is declination; omega isThe real-time solar angle is delta =23.5 degrees Sin0.986d, d is the number of days between the detection day and the spring minute day of the same year, and omega = (hour-12+ min/60). times.15 degrees; hour value of measurement time is represented by hour, minute value of measurement time is represented by min, measurement time measurement is carried out by adopting Beijing 24-hour system, VL is total light intensity of visible light, h is constant Planck, and c is vacuum wave speed; lambda is the average wavelength of the measuring waveband, n is the Avogallo constant, T is the current ambient temperature, and I is the total light intensity in the environment.
8. The light environment intelligent regulation and control system based on multi-factor coupling of claim 6, characterized in that the singlechip is reserved with a control port for accessing the sensor module.
9. The multi-factor coupling-based intelligent regulation and control system for light environment according to claim 6, wherein the temperature monitoring module employs a DB18B20 temperature sensor.
10. The multifactor coupling-based intelligent regulation and control system of a light environment of claim 6, wherein the illumination monitoring module employs a plant growth photosynthetically active radiation sensor (PAR).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310084828.5A CN103237380B (en) | 2013-03-15 | 2013-03-15 | Method and system of intelligent light-environment controlling based on multi-factor coupling |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310084828.5A CN103237380B (en) | 2013-03-15 | 2013-03-15 | Method and system of intelligent light-environment controlling based on multi-factor coupling |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103237380A true CN103237380A (en) | 2013-08-07 |
| CN103237380B CN103237380B (en) | 2014-09-03 |
Family
ID=48885382
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310084828.5A Active CN103237380B (en) | 2013-03-15 | 2013-03-15 | Method and system of intelligent light-environment controlling based on multi-factor coupling |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103237380B (en) |
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103955249A (en) * | 2014-04-12 | 2014-07-30 | 闽江学院 | Facility agriculture environment control system control method based on solar radiation calculation |
| CN104076846A (en) * | 2014-06-13 | 2014-10-01 | 广州中大中鸣科技有限公司 | Plant cultivation LED light supplementing intelligent control system |
| CN104102253A (en) * | 2014-07-07 | 2014-10-15 | 江苏省农业科学院 | Intelligent greenhouse environment monitoring system |
| CN104798634A (en) * | 2015-04-22 | 2015-07-29 | 申鸣 | System, method and device for controlling illuminance and plant planting equipment |
| CN104913266A (en) * | 2015-05-22 | 2015-09-16 | 上海雷穹照明科技有限公司 | Lamp capable of promoting plant growth and method for promoting plant growth utilizing lamp |
| CN105204546A (en) * | 2015-08-10 | 2015-12-30 | 西北农林科技大学 | Control method and system for daylight hothouse roller blind machine based on light and temperature coupling |
| CN106155144A (en) * | 2016-08-17 | 2016-11-23 | 石家庄市农林科学研究院 | A kind of environmental control of greenhouse method and device |
| WO2016197581A1 (en) * | 2015-06-10 | 2016-12-15 | 小米科技有限责任公司 | Method and device for adjusting growth environment of plants |
| CN107145941A (en) * | 2017-04-12 | 2017-09-08 | 西北农林科技大学 | The real-time dynamic acquisition method of light requirement based on optimal light quality and photon flux density |
| CN107330207A (en) * | 2017-07-06 | 2017-11-07 | 中国船舶重工集团公司第七�三研究所 | A kind of sliding bearing flow parameter computational methods of multiple factors coupling test amendment |
| CN107728473A (en) * | 2017-09-11 | 2018-02-23 | 西北农林科技大学 | A kind of greenhouse multi-parameter cooperative control system and regulation and control method |
| CN108021057A (en) * | 2016-11-04 | 2018-05-11 | 中国计量大学 | A kind of outdoor greenhouse of adjustable light intensity |
| CN108958337A (en) * | 2017-06-18 | 2018-12-07 | 裴文平 | A kind of Greenhouse System and its autocontrol method based on earth source heat pump |
| CN111708389A (en) * | 2019-03-18 | 2020-09-25 | 株式会社有机尼科 | Method for generating environment data in greenhouse |
| CN111954349A (en) * | 2020-07-20 | 2020-11-17 | 深圳市朗科智能电气股份有限公司 | Illumination control system based on photosynthetic effective value sensor |
| CN112083748A (en) * | 2020-09-18 | 2020-12-15 | 西北农林科技大学 | Facility light environment regulation and control method with priority to light quality |
| CN112868435A (en) * | 2021-01-14 | 2021-06-01 | 同济大学 | NSGA-II-based blueberry greenhouse light and temperature coordination optimization method |
| CN113317058A (en) * | 2021-05-11 | 2021-08-31 | 深圳市识农智能科技有限公司 | Light supplementing method and device for dragon fruit growth, terminal and readable storage medium |
| CN113365386A (en) * | 2021-06-11 | 2021-09-07 | 南昌大学 | Control method and device of indoor lighting system |
| CN113994829A (en) * | 2021-11-19 | 2022-02-01 | 国网甘肃省电力公司电力科学研究院 | LED light supplement lamp operation regulation and control method considering time shifting and cost factors |
| CN114680007A (en) * | 2022-04-08 | 2022-07-01 | 北京市农业技术推广站 | Temperature regulation and control method for industrial cultivation of tomatoes |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI817135B (en) * | 2021-06-08 | 2023-10-01 | 遠東科技大學 | Method, computer program and computer readable medium for automatically selecting energy-saving environmental control apparatus in agricultural field |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102077767A (en) * | 2010-11-01 | 2011-06-01 | 西北农林科技大学 | Intelligent plant supplementary lighting method and device |
| CN201976520U (en) * | 2011-03-25 | 2011-09-21 | 西北农林科技大学 | Greenhouse-environment light-supplementing system |
| CN102762013A (en) * | 2012-05-10 | 2012-10-31 | 上海交通大学 | Intelligent control system for greenhouse LED light source |
| CN102823462A (en) * | 2012-09-06 | 2012-12-19 | 泉州百来太阳能有限公司 | Intelligent greenhouse shed system based on cloud server |
-
2013
- 2013-03-15 CN CN201310084828.5A patent/CN103237380B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102077767A (en) * | 2010-11-01 | 2011-06-01 | 西北农林科技大学 | Intelligent plant supplementary lighting method and device |
| CN201976520U (en) * | 2011-03-25 | 2011-09-21 | 西北农林科技大学 | Greenhouse-environment light-supplementing system |
| CN102762013A (en) * | 2012-05-10 | 2012-10-31 | 上海交通大学 | Intelligent control system for greenhouse LED light source |
| CN102823462A (en) * | 2012-09-06 | 2012-12-19 | 泉州百来太阳能有限公司 | Intelligent greenhouse shed system based on cloud server |
Cited By (30)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103955249A (en) * | 2014-04-12 | 2014-07-30 | 闽江学院 | Facility agriculture environment control system control method based on solar radiation calculation |
| CN104076846A (en) * | 2014-06-13 | 2014-10-01 | 广州中大中鸣科技有限公司 | Plant cultivation LED light supplementing intelligent control system |
| CN104076846B (en) * | 2014-06-13 | 2017-09-26 | 广州中大中鸣科技有限公司 | A kind of plant culture LED Intelligent control system of supplementary lighting |
| CN104102253A (en) * | 2014-07-07 | 2014-10-15 | 江苏省农业科学院 | Intelligent greenhouse environment monitoring system |
| CN104798634A (en) * | 2015-04-22 | 2015-07-29 | 申鸣 | System, method and device for controlling illuminance and plant planting equipment |
| CN104913266A (en) * | 2015-05-22 | 2015-09-16 | 上海雷穹照明科技有限公司 | Lamp capable of promoting plant growth and method for promoting plant growth utilizing lamp |
| WO2016197581A1 (en) * | 2015-06-10 | 2016-12-15 | 小米科技有限责任公司 | Method and device for adjusting growth environment of plants |
| CN105204546A (en) * | 2015-08-10 | 2015-12-30 | 西北农林科技大学 | Control method and system for daylight hothouse roller blind machine based on light and temperature coupling |
| CN106155144B (en) * | 2016-08-17 | 2018-03-23 | 石家庄市农林科学研究院 | A kind of environmental control of greenhouse method and device |
| CN106155144A (en) * | 2016-08-17 | 2016-11-23 | 石家庄市农林科学研究院 | A kind of environmental control of greenhouse method and device |
| CN108021057A (en) * | 2016-11-04 | 2018-05-11 | 中国计量大学 | A kind of outdoor greenhouse of adjustable light intensity |
| CN107145941A (en) * | 2017-04-12 | 2017-09-08 | 西北农林科技大学 | The real-time dynamic acquisition method of light requirement based on optimal light quality and photon flux density |
| CN108958337A (en) * | 2017-06-18 | 2018-12-07 | 裴文平 | A kind of Greenhouse System and its autocontrol method based on earth source heat pump |
| CN107330207A (en) * | 2017-07-06 | 2017-11-07 | 中国船舶重工集团公司第七�三研究所 | A kind of sliding bearing flow parameter computational methods of multiple factors coupling test amendment |
| CN107330207B (en) * | 2017-07-06 | 2020-11-13 | 中国船舶重工集团公司第七�三研究所 | Sliding bearing flow parameter calculation method corrected by multi-factor coupling test |
| CN107728473A (en) * | 2017-09-11 | 2018-02-23 | 西北农林科技大学 | A kind of greenhouse multi-parameter cooperative control system and regulation and control method |
| CN107728473B (en) * | 2017-09-11 | 2024-02-23 | 西北农林科技大学 | Multi-parameter cooperative control system and regulation and control method for greenhouse environment |
| CN111708389A (en) * | 2019-03-18 | 2020-09-25 | 株式会社有机尼科 | Method for generating environment data in greenhouse |
| CN111708389B (en) * | 2019-03-18 | 2021-10-26 | 株式会社有机尼科 | Method for generating environment data in greenhouse |
| CN111954349A (en) * | 2020-07-20 | 2020-11-17 | 深圳市朗科智能电气股份有限公司 | Illumination control system based on photosynthetic effective value sensor |
| CN112083748A (en) * | 2020-09-18 | 2020-12-15 | 西北农林科技大学 | Facility light environment regulation and control method with priority to light quality |
| CN112083748B (en) * | 2020-09-18 | 2021-06-15 | 西北农林科技大学 | Facility light environment regulation and control method with priority to light quality |
| CN112868435B (en) * | 2021-01-14 | 2022-07-05 | 同济大学 | NSGA-II-based blueberry greenhouse light and temperature coordination optimization method |
| CN112868435A (en) * | 2021-01-14 | 2021-06-01 | 同济大学 | NSGA-II-based blueberry greenhouse light and temperature coordination optimization method |
| CN113317058A (en) * | 2021-05-11 | 2021-08-31 | 深圳市识农智能科技有限公司 | Light supplementing method and device for dragon fruit growth, terminal and readable storage medium |
| CN113317058B (en) * | 2021-05-11 | 2022-06-14 | 深圳市五谷网络科技有限公司 | Light supplementing method and device for dragon fruit growth, terminal and readable storage medium |
| CN113365386A (en) * | 2021-06-11 | 2021-09-07 | 南昌大学 | Control method and device of indoor lighting system |
| CN113994829A (en) * | 2021-11-19 | 2022-02-01 | 国网甘肃省电力公司电力科学研究院 | LED light supplement lamp operation regulation and control method considering time shifting and cost factors |
| CN113994829B (en) * | 2021-11-19 | 2022-09-20 | 国网甘肃省电力公司电力科学研究院 | LED light supplement lamp operation regulation and control method considering time shifting and cost factors |
| CN114680007A (en) * | 2022-04-08 | 2022-07-01 | 北京市农业技术推广站 | Temperature regulation and control method for industrial cultivation of tomatoes |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103237380B (en) | 2014-09-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103237380B (en) | Method and system of intelligent light-environment controlling based on multi-factor coupling | |
| CN203136275U (en) | Luminous environment intelligent regulation and control system based on multifactorial coupling | |
| CN102138464A (en) | Light supplement method for greenhouse plant cultivation | |
| CN104472247A (en) | Plant growth dynamic light supplement system applied to greenhouse | |
| CN105746202A (en) | LED plant illuminating system and method based on PC/mobile terminal remote control | |
| CN102283052B (en) | Intelligent plant cultivation supplementary lighting method and system | |
| CN104509414A (en) | Energy self-supplying type intelligent greenhouse control system and method | |
| EP3903567A1 (en) | Plant factory | |
| CN104302062B (en) | A kind of illumination control system and method for employing multicolor LED intelligent plant factor | |
| CN107728473B (en) | Multi-parameter cooperative control system and regulation and control method for greenhouse environment | |
| CN104488582A (en) | Dynamic supplemental lighting control method for greenhouse plants | |
| CN102835262A (en) | LED (Light Emitting Diode) plant growth promotion system | |
| CN106888864A (en) | A kind of control system for acting on hothouse plants growth | |
| CN105050285A (en) | Plant lamp illumination system | |
| CN108601174A (en) | A kind of plant intelligent light compensation method and system | |
| CN202121977U (en) | Intelligent light complement system for plant cultivation | |
| CN104913266A (en) | Lamp capable of promoting plant growth and method for promoting plant growth utilizing lamp | |
| CN205029914U (en) | Plant lamp lighting system with and LED lamp and LED banks that use thereof | |
| CN204227199U (en) | A kind of LED plant illumination system | |
| CN204145846U (en) | The illumination control system of the intelligent plant factor of a kind of employing multicolor LED | |
| CN103444418A (en) | Production-line type plant factory implementation method based on plant growth characteristics and rhythm | |
| CN102428850A (en) | Automatic control system of solar vegetable seedling | |
| CN103607829A (en) | Intelligent network type plant growth LED lamp capable of adjusting light quality automatically | |
| CN206713617U (en) | A kind of control system for acting on hothouse plants growth | |
| CN102273387B (en) | Facility and method for regulating environment temperature of rhizosphere around tomato in greenhouse in winter |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |